Triple

T8243532
Position Surface form Disambiguated ID Type / Status
Subject The Body E192792 entity
Predicate relatedWorkByAuthor P922 FINISHED
Object Apt Pupil E192791 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Apt Pupil | Statement: [The Body, relatedWorkByAuthor, Apt Pupil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apt Pupil
Context triple: [The Body, relatedWorkByAuthor, Apt Pupil]
  • A. Apt Pupil chosen
    Apt Pupil is a dark psychological novella by Stephen King about a teenage boy’s disturbing relationship with a fugitive Nazi war criminal.
  • B. Apt Pupil
    Apt Pupil is a 1998 psychological thriller film, based on a Stephen King novella, about a disturbed teenager who discovers and manipulates a Nazi war criminal living in his neighborhood.
  • C. Apt Pupil – Southern California
    Apt Pupil – Southern California is the primary setting of Stephen King’s novella “Apt Pupil,” a dark psychological horror story from his collection Different Seasons.
  • D. Up the Academy
    Up the Academy is a 1980 American teen comedy film, originally associated with Mad magazine, about misfit boys sent to a strict military academy.
  • E. In School
    In School is a non-fiction book by former NHL goaltender and Canadian politician Ken Dryden that examines the challenges and possibilities of the modern education system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb786f65708190a92ec282b280c813 completed March 31, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6801eaec8190a104ac6b08030376 completed April 1, 2026, 6:46 p.m.
Created at: March 30, 2026, 5:47 p.m.